teacher-chinese-unit-review

teacher-chinese-unit-review is a skill for Claude Code, Codex from hezkvectory/hermes-edu-skills. It costs 51 tokens per session (1,442 once invoked), scanned A, a copy of adult-vocational-certificate, MIT.

A Chinese-language unit-review planning tool for teachers. It links vocabulary, reading methods, writing, recall questions, practice, error patterns, and a later check.

In plain words
What is it for?
Use it to plan Chinese unit reviews, discuss common mistakes, create varied exercises, and schedule follow-up testing.
Why use it?
It helps replace repeated teaching or fact lists with review that responds to what students got wrong and tests whether they improved.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to plan Chinese unit reviews, discuss common mistakes, create varied exercises, and schedule follow-up testing.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/hezkvectory/hermes-edu-skills/teacher-chinese-unit-review
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add hezkvectory/hermes-edu-skills --skill teacher-chinese-unit-review
Clone the repo
git clone --depth 1 https://github.com/hezkvectory/hermes-edu-skills

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for teacher-chinese-unit-review

README.md
[![agentmods](https://agentmods.dev/badge/skills/hezkvectory/hermes-edu-skills/teacher-chinese-unit-review/github.svg)](https://agentmods.dev/skills/hezkvectory/hermes-edu-skills/teacher-chinese-unit-review)
Your own site
<a href="https://agentmods.dev/skills/hezkvectory/hermes-edu-skills/teacher-chinese-unit-review"><img src="https://agentmods.dev/badge/skills/hezkvectory/hermes-edu-skills/teacher-chinese-unit-review/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for teacher-chinese-unit-review

Your own site · 80×15
<a href="https://agentmods.dev/skills/hezkvectory/hermes-edu-skills/teacher-chinese-unit-review"><img src="https://agentmods.dev/badge/skills/hezkvectory/hermes-edu-skills/teacher-chinese-unit-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 51 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,442 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 83% copy Near-identical to another mod in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00051 $0.01442
Opus 5 $0.00026 $0.00721
Sonnet 5 $0.00010 $0.00288
Haiku 4.5 $0.00005 $0.00144

Measured 9d ago against content hash 55b318fe1783, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

teacher-chinese-unit-review scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

83% identical to adult-vocational-certificate — 123 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/teacher-tools/teacher-chinese-unit-review/SKILL.md · 145 lines

How it starts

The opening of the file, as written. The whole thing — 145 lines — stays where its author put it; the contents beside it link to each section on GitHub.

语文单元复习 Skill

帮助语文老师把一个单元复习成知识结构、典型错因、主动回忆和再练习的闭环,而不是重新讲一遍。

这个 Skill 解决什么问题 / Problem

帮助语文老师把一个单元复习成知识结构、典型错因、主动回忆和再练习的闭环,而不是重新讲一遍。

最适合 / Best For

  • 语文单元复习
  • 期中期末前查漏补缺
  • 错题集中讲评
  • 班级分层复习

不适合 / Not For

  • 临考押题承诺
  • 只列知识点不设计检测
  • 把语文课变成知识点罗列,忽略文本细读和表达训练

使用前请准备 / Inputs

  • 单元范围
  • 最近测验或作业错因
  • 剩余复习课时
  • 学生分层情况
  • 重点题型或实验/文本/模型
  • 用 5-8 个问题做主动回忆热身。
  • 把字词、阅读方法和写作表达串成单元复习线
  • 按概念、方法、应用或表达把错因分组。
  • 设计典型题讲评和变式练习。
  • 安排下一次间隔复习和复测指标。

输出格式 / Output Format

  • 单元知识结构
  • 主动回忆问题
  • 错因聚类
  • 讲评顺序
  • 变式练习
  • 复测安排

质量检查 / Quality Checks

  • 必须包含主动回忆
  • 复习顺序要基于错因证据
  • 讲评不能只报答案
  • 要有下一次复测指标

没有平台工具时 / Standalone Fallback

  • 没有错题统计时,让老师粘贴 3-5 个高频错题。
  • 没有题库时,生成原创变式题并附答案。

示例提示 / Example Prompts

  • 帮我做语文第二单元复习课,先用主动回忆,再按错因安排讲评。
  • 这次语文单元测错题集中在这些点,帮我设计一节复习课。

适用场景 / When To Use

当学习者、家长、老师、学校或教育应用开发者需要处理以下场景时,可以使用这个 Skill。

最适合的场景:

  • 单元复习

适用角色:

  • 老师

调用信号 / Invocation Signals

意图:

  • teacher_chinese_unit_review
  • teacher_tools
  • 单元复习

示例表达:

  • 开始语文单元复习 Skill
  • 帮我做单元复习
  • 根据当前上下文执行语文单元复习 Skill

公开 Skill 契约 / Public Skill Contract

  • Workflow: teacher_chinese_unit_review.run
  • Category: teacher-tools
  • Stages: primary, junior, senior
  • Subjects: 语文
  • Abilities: 复习计划
  • Quality Tier: curated
  • Standalone Support: needs_user_input
  • Public Release: recommended
  • Requires Tools: context.load, entitlement.check, workflow.create, plan.generate, organization.query_context, memory.write
  • Requires Data: 年级和学科/课题, 教材版本或单元, 班级基础/错题/课堂观察, 课时或作业时长
  • Export Mode: installable
  • Release Channel: recommended

成熟度备注:

  • 已按精品 Skill 标准补充边界、输入、工作流、输出格式和示例。

参数化使用 / Parameters

这个 Skill 不再把年级、册别、单元、知识点和难度拆成大量独立 Skill。请在调用时通过参数或自然语言补充这些信息。

  • Grades: 一年级, 二年级, 三年级, 四年级, 五年级, 六年级, 七年级, 八年级, 九年级, 高一, 高二, 高三
  • Semesters: 上册, 下册, 上册, 下册, 必修一, 必修二, 选择性必修
  • Scenarios: 单元复习
  • Difficulties: 基础, 标准, 提高
  • Parameterized Dimensions: grade, semester, unit, lesson, knowledgePointCodes, scenario, difficulty

Read the full file on GitHub · 145 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 9d ago First seen · 145 lines · 51 tokens per session scan A 55b318fe1783

Subscribe to this mod's changes

teacher-chinese-unit-review is a skill published in the GitHub repository hezkvectory/hermes-edu-skills (94 stars, last pushed 3mo ago), licensed MIT. It adds 51 tokens to every session and 1,442 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 83% identical to adult-vocational-certificate, differing in 123 lines, and is treated as a copy.

Related

Other skills, from other repositories

self-improve-with-tinyfish

Enables Hermes to create new reusable skills for itself by researching live web sources with TinyFish Search and Fetch, analyzing source coverage, writing SKILL.md files, and installing them into Hermes memory. Use when the user asks Hermes to learn, teach itself, upgrade itself, or save a reusable capability.

tinyfish-io/tinyfish-cookbook · 68 tokens

Vibe Coding Mastery

The complete operating system for building software with AI. From first prompt to production deployment — prompting frameworks, architecture patterns, testing strategies, debugging playbooks, and production graduation checklists. Works with Claude Code, Cursor, Windsurf, Copilot, and any AI coding tool.

LeoYeAI/openclaw-master-skills · 61 tokens

workshop-testing

Walk through the .NET AI Workshop as an attendee to validate that the READMEs, commands, and code snapshots still work. USE FOR: testing the workshop, testing a specific Part, dry-running the labs, verifying a README against its snapshot, reconciling or refreshing code snapshots, producing a workshop test report. DO…

dotnet-presentations/ai-workshop · 95 tokens

Automation Interview Prep

Prepare for SDET and automation interviews round by round, covering coding screens, framework design, API testing tasks, scenario questions, and STAR stories built from real testing work.

PramodDutta/qaskills · 38 tokens

paperlab_exam_alignment

Check whether a PaperLab course book prepares students for the associated exercises and exams. Use this when a book has source folders with exams, exercise PDFs, review chapters, learning objectives, or end-of-chapter questions.

equinor/neqsim · 0 tokens

ship-feature

End-to-end feature delivery — implement a feature, verify builds/tests pass, open a fully-filled draft PR, then automatically push every feedback round and review iteration to the same PR. Use when the user asks to implement or build a feature, fix-and-ship a change, or iterate on an existing feature PR.

classroomio/classroomio · 66 tokens